A Course of Mathematics for Engineers and Scientists, Volume 4 focuses on mathematical methods required in the more advanced parts of physics and engineering. Organized into five chapters, this book begins by elucidating vector analysis and the differential and integral operations and theorems concerning vectors. Chapter II shows solution of ordinary and some partial differential equations. Chapter III addresses the properties of Bessel, Legendre, Laguerre, and Hermite functions that commonly occur in the solution of boundary and initial value problems. The last two chapters detail the differential equations of field lines and level surfaces, as well as the matrices. This book will be useful to undergraduate students so that they can appreciate and use the mathematical methods required in the more advanced parts of physics and engineering.
A Course of Mathematics for Engineers and Scientists
Clear and engaging introduction for graduate students in engineering and the physical sciences to essential topics of applied mathematics.
This Third Edition has been greatly expanded to reflect the needs of today's professionals.
This engineering mathematics textbook is rich with examples, applications and exercises, and emphasises applying matrices.
A revised edition of a volume of programmes on mathematics which is part of a course written for undergraduate science and engineering students in universities and colleges in all parts of the world.
This primary text and supplemental reference focuses on linear algebra, calculus, and ordinary differential equations.
The emphasis throughout the book is on providing the practical tools needed to solve mathematical problems quickly and efficiently in engineering contexts.
"Intended for upper-level undergraduate and graduate courses in chemistry, physics, math and engineering, this book will also become a must-have for the personal library of all advanced students in the physical sciences.
Tough Test Questions?
Andrei D. Polyanin, Alexander V. Manzhirov ... 422 onto set, 226 range, 226 schlicht, 402 marginal distribution function, 1064 marginal probability functions, 1059 Markov inequality, 1070 Markov process, 1075 Markov property, ...